基于VQ的高效汉语语音识别方法的比较性研究.pdf

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1、Jour7alofBeiji7gI7stituteofTech7ology，2002，Vol.11，No.3COmparativeStudyOnVO-basedefficientMandarinSpeechrecOgnitiOnMethOdXIEXiang，Z~A0jun-hui，KUANGjing-ming（DepartmentofElectronicsEngineering，BeijingInstituteofTechnology，Beijing100081，China）Abstract：AVG-basedefficientspeechrecognitionmethodisintro

2、duced，andthekeyparametersofthismethodarecomparativelystudied.Thismethodisespeciallydesignedformandarinspeaker-dependentsmall-sizeWordsetrecognition.Ithaslesscomplexity，lessresourceconsumptionbuthigherARR（accuraterecognitionrate）com-paredWithtraditional~MMorNNapproach.Alarge-scaletestonthetaskof11

3、mandarindigitsrecognitionshoWsthattheWER（Worderrorrate）canreach3.86%.ThismethodissuitableforbeingembeddedinPDA（personaldigitalassistant），mobilephoneandsoontoperformvoicecontrollinglikedigitsdialing，namedialing，calculating，voicecommanding，etc.KeyWOrds：speechrecognition；vectorCuantization（VG）；speak

4、er-dependentdigitsrecognitionCLCnumber：TN912.3DOcumentcOde：AArticleID：1004-0579（2002）03-0266-05Voicecontrollingmakesman-machineinterfaceInsection1，theframeWorkofthesystemisin-（MMI）morefriendlyandconvenient.Atypicalandtroduced.Insection2，Wedefinethetesttaskandcommonapplicationisintegratingautomati

5、cspeechthedataset.Insection3，severalkeyparametersofrecognition（ASR）functioninpersonaldevices，likethesystemareintroduced.Insection4，differentpa-PDA，mobilephone，Walkman，calculator，etc.Therametersettingsforoptimizingthesystemarecom-characteristicsofsuchtasksareasfolloWs.pared.Theresultsofdifferentex

6、perimentsareinves-!Theresourcesandcapacityofthesesystemstigated.Insection5，thefutureWorkisdiscussed.arelimited，e.g.CPUspeedissloW，andmemory1FrameWOrksizeissmall."Basically，vocabularysizeissmall（nomoreAnyapproachbasedon~MMorNNneedssuffi-than40activeWordsatthesametime）.cienttokensfortrainingandhasm

7、orecomputational#Speakerisnormallyfixed，i.e.speaker-complexity.Sincethetrainingtokensshouldbeasdependentstrategyismoresuitableforsuchtasks.lessaspossible，WechooseavectorCuantizer（VG）as$Environmentvariesinalargerange.［1